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                  <h1>Face Detection</h1>
                
                <h2 id="face-detection">🔖Face Detection<a class="headerlink" href="#face-detection" title="Permanent link">&para;</a></h2>
<ul>
<li><strong>RetinaFace</strong>: Single-stage Dense Face Localisation in the Wild <a href="https://arxiv.org/abs/1905.00641" title="arXiv2019">[paper]</a> <a href="https://github.com/deepinsight/insightface/tree/master/RetinaFace" title="MXNet">[code]</a></li>
<li>Group Sampling for Scale Invariant Face Detection <a href="http://openaccess.thecvf.com/content_CVPR_2019/papers/Ming_Group_Sampling_for_Scale_Invariant_Face_Detection_CVPR_2019_paper.pdf" title="CVPR2019">[paper]</a></li>
<li><strong>FA-RPN</strong>: Floating Region Proposals for Face Detection <a href="http://openaccess.thecvf.com/content_CVPR_2019/papers/Najibi_FA-RPN_Floating_Region_Proposals_for_Face_Detection_CVPR_2019_paper.pdf" title="CVPR2019">[paper]</a></li>
<li><strong>SFA</strong>: Small Faces Attention Face Detector <a href="https://arxiv.org/abs/1812.08402" title="SPIC2019">[paper]</a> <a href="https://github.com/shiluo1990/SFA" title="Caffe">[code]</a></li>
<li><strong>ISRN</strong>: Improved Selective Refinement Network for Face Detection <a href="https://arxiv.org/abs/1901.06651" title="arXiv2019">[paper]</a></li>
<li><strong>DSFD</strong>: Dual Shot Face Detector <a href="https://arxiv.org/abs/1810.10220" title="CVPR2019">[paper]</a> <a href="https://github.com/TencentYoutuResearch/FaceDetection-DSFD" title="PyTorch">[code]</a></li>
<li><strong>PyramidBox++</strong>: High Performance Detector for Finding Tiny Face <a href="https://arxiv.org/abs/1904.00386" title="arXiv2019">[paper]</a></li>
<li><strong>VIM-FD</strong>: Robust and High Performance Face Detector <a href="https://arxiv.org/abs/1901.02350" title="arXiv2019">[paper]</a></li>
<li><strong>SHF</strong>: Robust Face Detection via Learning Small Faces on Hard Images <a href="https://arxiv.org/abs/1811.11662" title="arXiv2018">[paper]</a> <a href="https://github.com/bairdzhang/smallhardface" title="Caffe">[code]</a></li>
<li><strong>SRN</strong>: Selective Refinement Network for High Performance Face Detection <a href="https://arxiv.org/abs/1809.02693" title="AAAI2019">[paper]</a></li>
<li><strong>SFDet</strong>: Single-Shot Scale-Aware Network for Real-Time Face Detection <a href="https://link.springer.com/epdf/10.1007/s11263-019-01159-3?author_access_token=Jjgl-u1CAXPmSKWDljfSBfe4RwlQNchNByi7wbcMAY7Vwo_nrkuFMElF6YSQ0We34tUs42D0dyurcBAD0sJP66n6GBanVgA9qsuvh4Y_Bjf3E_n9_croQ4esS882srfHyUz-L96pU3gu_M30Kk6_XQ%3D%3D" title="IJCV2019">[paper]</a></li>
<li><strong>HyperFace</strong>: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition <a href="https://arxiv.org/abs/1603.01249" title="TPAMI2019">[paper]</a> <a href="https://github.com/maharshi95/HyperFace" title="TensorFlow">[code]</a></li>
<li><strong>PyramidBox</strong>: A Context-assisted Single Shot Face Detector <a href="https://arxiv.org/pdf/1803.07737.pdf" title="arXiv2018">[paper]</a> <a href="https://github.com/PaddlePaddle/models/tree/2a6b7dc92f04815f0b298e59030cb779dd0e038c/fluid/face_detction" title="PaddlePaddle">[code]</a></li>
<li><strong>PCN</strong>: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks <a href="https://arxiv.org/pdf/1804.06039.pdf" title="CVPR2018">[paper]</a> <a href="https://github.com/Jack-CV/PCN" title="C++">[code]</a> </li>
<li><strong>S³FD</strong>: Single Shot Scale-invariant Face Detector <a href="https://arxiv.org/pdf/1708.05237.pdf" title="arXiv2017">[paper]</a> <a href="https://github.com/sfzhang15/SFD" title="Caffe">[code]</a></li>
<li><strong>SSH</strong>: Single Stage Headless Face Detector <a href="http://openaccess.thecvf.com/content_ICCV_2017/papers/Najibi_SSH_Single_Stage_ICCV_2017_paper.pdf" title="ICCV2017">[paper]</a> <a href="https://github.com/mahyarnajibi/SSH" title="Caffe">[code]</a></li>
<li><strong>FaceBoxes</strong>: A CPU Real-time Face Detector with High Accuracy <a href="https://arxiv.org/pdf/1708.05234.pdf" title="IJCB2017">[paper]</a><a href="https://github.com/zeusees/FaceBoxes" title="Caffe">[code1]</a> <a href="https://github.com/lxg2015/faceboxes" title="PyTorch">[code2]</a></li>
<li><strong>TinyFace</strong>: Finding Tiny Faces <a href="http://openaccess.thecvf.com/content_cvpr_2017/papers/Hu_Finding_Tiny_Faces_CVPR_2017_paper.pdf" title="CVPR2017">[paper]</a> <a href="https://www.cs.cmu.edu/~peiyunh/tiny/">[project]</a> <a href="https://github.com/peiyunh/tiny" title="MatConvNet">[code1]</a> <a href="https://github.com/chinakook/hr101_mxnet" title="MXNet">[code2]</a> <a href="https://github.com/cydonia999/Tiny_Faces_in_Tensorflow" title="TensorFlow">[code3]</a></li>
<li><strong>MTCNN</strong>: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks <a href="https://kpzhang93.github.io/MTCNN_face_detection_alignment/paper/spl.pdf" title="SPL2016">[paper]</a> <a href="https://kpzhang93.github.io/MTCNN_face_detection_alignment/">[project]</a> <a href="https://github.com/kpzhang93/MTCNN_face_detection_alignment" title="Caffe">[code1]</a> <a href="https://github.com/CongWeilin/mtcnn-caffe" title="Caffe">[code2]</a> <a href="https://github.com/foreverYoungGitHub/MTCNN" title="Caffe">[code3]</a> <a href="https://github.com/Seanlinx/mtcnn" title="MXNet">[code4]</a> <a href="https://github.com/pangyupo/mxnet_mtcnn_face_detection" title="MXNet">[code5]</a> <a href="https://github.com/TropComplique/mtcnn-pytorch" title="PyTorch">[code6]</a> <a href="https://github.com/AITTSMD/MTCNN-Tensorflow" title="TensorFlow">[code7]</a></li>
<li><strong>NPD</strong>: A Fast and Accurate Unconstrained Face Detector <a href="http://www.cbsr.ia.ac.cn/users/scliao/papers/Liao-PAMI15-NPD.pdf" title="TPAMI2015">[paper]</a> <a href="https://github.com/wincle/NPD" title="C++">[code]</a> <a href="http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/index.html">[project]</a></li>
<li><strong>PICO</strong>: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees <a href="https://arxiv.org/pdf/1305.4537.pdf" title="arXiv2014">[paper]</a> <a href="https://github.com/nenadmarkus/pico" title="C">[code]</a></li>
<li><strong>libfacedetection</strong>: A fast binary library for face detection and face landmark detection in images. <a href="https://github.com/ShiqiYu/libfacedetection" title="C++">[code]</a></li>
<li><strong>SeetaFaceEngine</strong>: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification <a href="https://github.com/seetaface/SeetaFaceEngine" title="C++">[code]</a></li>
</ul>
                
                  
                
              
              
                


              
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